Removes AI writing patterns and injects human quality (specificity, burstiness, precise emotional language) into drafted content. Includes an optional personal-brand mode (voice reference + deterministic eval gate) you can adapt to your own voice. Use when editing drafts so they don't sound like AI. NOT for generating new content, fact-checking, SEO scoring, or research.
Review-only quality grader for reader-facing analytical deliverables (HTML reports, executive briefs, strategy decks, decision documents). Modes: spec (returns authoring template), spec-judge (grades the storyline before writing), review pass 1 (argument structure), review pass 2 (readability), review pass 3 (humanization — verifies the caller's humanize edit landed: zero em-dashes, no AI tells, human texture); each pass gates the next. Returns structured violation reports; the CALLING skill applies fixes. Rule of thumb: if a human will read it, it goes through this review; machine artifacts, agent-read repo docs, and working drafts do not. Invoke via 'run write-report on X', 'get an authoring spec', or 'judge this storyline'. Do NOT use for SEO review (use seo-review-loop), code review, fact-checking, or short chat replies. Full mode/strictness/doc-type details in the skill body.
Renders complex information as a single self-contained HTML file — dashboards, analytical reports, comparison tables, timelines, flow/sequence diagrams, and data explainers — using Antony Evans's brand tokens (forest green / off-white / amber, Space Grotesk + Inter). Triggers on "build/render/make this as HTML", "create a dashboard", "show me a visual report", "turn this into a one-pager", "render with diagrams", or when another skill says "use html-output for the deliverable". Also activates when the artifact has 3+ dimensions of data, needs diagrams or interactive export buttons, or would be clearly more legible in a browser than in markdown. Does NOT trigger for short chat replies, markdown notes for the Obsidian vault, code files, slide decks (use pptx), spreadsheets (use xlsx), PDFs (use pdf), logos or images (use generate-image), or plain text answers. Output is one styled .html file with optional Mermaid or Chart.js via CDN when justified.
Review-only multi-mode quality grader for reader-facing analytical deliverables (typically HTML reports with prose + charts/diagrams inline). Supports four modes: (1) `spec` returns a doc-type-specific authoring template the caller fills in; (2) `spec-judge` grades a filled-in authoring spec (storyline) BEFORE the caller writes the document — catches broken governing observation, MECE-overlap, Rumelt goal-not-strategy at the storyline stage and saves 60-70% of the iteration cost of post-hoc structure fixes; (3) `review pass: 1` audits argument STRUCTURE (Minto Pyramid, MECE, SCQA, Rumelt kernel, dot-dash storyline, issue-tree integrity) of the finished document; (4) `review pass: 2` audits READABILITY (action titles, so-what, specificity, code/jargon discipline, active voice, Frankenstein detection). Structure pass gates the readability pass. **Reviews reader-facing artifacts — HTML deliverables, executive reports, gate decisions — not machine artifacts or working markdown drafts.** The rule of thumb: if a hu
Produces a ranked shortlist of venture concepts for disrupting an industry via a 6-phase workflow (Industry Deconstruction → Value Chain Pain Audit → Enabling Conditions Scan + capability seeds → Framework Application → Idea Generation via eight structural moves → Stress Test). Runs two generation lanes: an incumbent-anchored lane (Blue Ocean ERRC, Aggregation, Decoupling, Counter-positioning) and a first-principles lane (Phase 3 capability seeds + Move 8 capability-first + Thiel's Secrets reframed as testable bets, never truth-gated). The incumbent:capability mix is allocated per-industry from Phase 1-3 signals and ratified by the human at Gate 2 (not hardcoded), with a ≥1-per-lane floor. Every concept ships as a bet (load-bearing hypothesis + cheapest validation test); the human gate is test-worthiness, not conviction. Built against a disruption-dataset.yaml from inherited analyze-industry outputs or fresh librarian research. Three approval gates. Reimagination-specific bar test (≥3 non-obvious concepts, ze
Structural demand-side analysis for a defined industry: JTBD (Christensen/Ulwick — functional + emotional + social), JTBD-based segmentation (NOT demographic), substitution risk per segment (named cross-category candidates + switching cost + likelihood), WTP drivers per segment, and named leading demand signals. Output: demand.md — surfaces disruption threats before they show in share data. Sub-skill of analyze-industry, also invocable standalone. CONDITIONAL: orchestrator SKIPS when ALL three hold — market mature (>20yr) AND demand volatility <±2% AND no substitution threat flagged in Five Forces; standalone caller decides. Triggers: 'analyze demand for [industry]', 'JTBD for [industry]', 'customer segmentation for [industry]', 'substitution risk for [industry]', 'WTP drivers in [industry]'. Do NOT use for product-level JTBD, single-company positioning (use build-company-model), market sizing (use size-market), or supply-side competition (use map-competitive-arena).
Produces a senior-analyst industry-structure brief by orchestrating MBB sub-skills (BCG Strategy Palette, McKinsey G3 sizing, Porter Five Forces with complementors and AI-as-force, Bain profit pools on Porter value chain; Phase 2 adds arenas, S-curve, Helmer 7 Powers, JTBD). Three-layer output to 08-knowledge/world-model/industries/[slug]/. Quick or Deep mode. Three approval gates. Fresh-context bar test. V/C/A/I provenance. Pyramid + SCQA synthesis shipped as a quality-reviewed HTML report (rendered via html-output, audited by analysis-quality-review). Concludes with where-to-play/how-to-win. Triggers on 'analyze the [industry] industry', 'industry brief for [industry]', 'is [industry] structurally attractive', 'industry analysis for [PE deal/market entry]', 'industry-structure analysis'. Do NOT activate for single-company analysis (use build-company-model), DTC category go/no-go (use assess-category), decision pressure-testing (use stress-test), or buyer/investor universe (use building-buyer-shortlists).
Produces a forward-looking industry trajectory analysis: dual S-curve (market-adoption + technology lifecycle with diagnostic signals), Three Horizons overlay on G3 sub-segments (consumes size-market when present), discontinuities catalog (regulatory/tech/behavioral with year-range timing windows), Helmer Power Progression (which 7 Powers are buildable now / Year 3 / Year 5 / closed), and base/bear/bull scenarios with ≥3 named swing variables for the 5-year horizon. Output: trajectory.md with V/C/A/I tags. Sub-skill of analyze-industry but invocable standalone. Triggers on 'industry trajectory for [industry]', 'where is [industry] on the S-curve', 'three horizons for [industry]', 'scenario analysis for [industry]', 'discontinuities facing [industry]'. Do NOT activate for company-specific moat assessment (use assess-moat-sources), market sizing (use size-market), or competitive arena mapping (use map-competitive-arena).